Bitcoin Rates Script in Go
In Displaying Python Script Outputs on Conky Panels, I suggested running a Python script on a Conky panel to display Bitcoin exchange rates in USD and BRL. However, due to higher-than-expected memory consumption for such a basic task, I rewrote the script in Go. Now, a compiled binary handles the task. This approach is ideal for Go beginners, offering a chance to learn API handling and text formatting for monetary values. Here's a breakdown:
The complete code is at the end of this article.
1 - Packages and Imports
package main import ( "encoding/json" "fmt" "io" "net/http" "strconv" "github.com/dustin/go-humanize" )
- package main: Marks this as the entry point of the program.
-
Imported Libraries:
- encoding/json: For parsing JSON responses from APIs.
- fmt: For text formatting and printing.
- io: For reading response bodies.
- net/http: For making HTTP requests.
- strconv: For converting strings to numbers.
- humanize: For adding thousand separators to numbers. Install via go get github.com/dustin/go-humanize.
2 - Global Constants
const ( apiURL = "https://economia.awesomeapi.com.br/json/last/BTC-USD,BTC-BRL" )
- apiURL: The API endpoint to fetch Bitcoin exchange rates.
3 - Structures for JSON Parsing
type CurrencyData struct { High string `json:"high"` Low string `json:"low"` } type APIResponse struct { BTCUSD CurrencyData `json:"BTCUSD"` BTCBRL CurrencyData `json:"BTCBRL"` }
- CurrencyData: Holds high and low values for a currency.
- APIResponse: Represents the full API response with BTCUSD and BTCBRL keys.
JSON tags (json:"high") map struct fields to JSON keys.
4 - Function to Format Monetary Values
func formatCurrency(value string, prefix string) string { floatValue, err := strconv.ParseFloat(value, 64) if err != nil { return "N/A" } formattedValue := fmt.Sprintf("%s%s", prefix, humanize.FormatFloat("#,###.##", floatValue)) return formattedValue }
- Converts value (string) to a float using strconv.ParseFloat.
- Formats the number with thousand separators and two decimal places, adding the prefix (e.g., $ or R$).
5 - Main Function
5.1 API Request
resp, err := http.Get(apiURL) if err != nil { writeError(err) return } defer resp.Body.Close() body, err := io.ReadAll(resp.Body) if err != nil { writeError(err) return }
- http.Get(apiURL): Sends a GET request to the API.
- defer resp.Body.Close(): Ensures the response body is closed after processing.
- io.ReadAll: Reads the response body.
5.2 JSON Parsing
var data APIResponse if err := json.Unmarshal(body, &data); err != nil { writeError(err) return }
- json.Unmarshal: Parses the JSON response into the APIResponse struct.
5.3 Data Formatting
usdAlta := formatCurrency(data.BTCUSD.High, "$$") usdBaixa := formatCurrency(data.BTCUSD.Low, "$$") brlAlta := formatCurrency(data.BTCBRL.High, "R$$") brlBaixa := formatCurrency(data.BTCBRL.Low, "R$$")
Formats the API-provided values for display.
5.4 Result Construction
formattedData := fmt.Sprintf( "\n\n${color white}BTC - USD\n${color}${color green} High: ${color}${color white}%s\n${color red} Low: ${color}${color white}%s\n\n"+ "${color white}BTC - BRL\n${color}${color green} High: ${color}${color white}%s\n${color red} Low: ${color}${color white}%s\n", usdAlta, usdBaixa, brlAlta, brlBaixa, ) fmt.Println(formattedData)
Creates the final output string with the formatted values.
6 - Error Logging Function
func writeError(err error) { errMsg := fmt.Sprintf("Error: %v", err) fmt.Println(errMsg) }
Logs errors to the terminal.
? btc_data.go
Run: go build btc_data.go && ./btc_data.go
package main import ( "encoding/json" "fmt" "io" "net/http" "strconv" "github.com/dustin/go-humanize" )
If this article helped you or you enjoyed it, consider contributing:
The above is the detailed content of Bitcoin Rates Script in Go. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



OpenSSL, as an open source library widely used in secure communications, provides encryption algorithms, keys and certificate management functions. However, there are some known security vulnerabilities in its historical version, some of which are extremely harmful. This article will focus on common vulnerabilities and response measures for OpenSSL in Debian systems. DebianOpenSSL known vulnerabilities: OpenSSL has experienced several serious vulnerabilities, such as: Heart Bleeding Vulnerability (CVE-2014-0160): This vulnerability affects OpenSSL 1.0.1 to 1.0.1f and 1.0.2 to 1.0.2 beta versions. An attacker can use this vulnerability to unauthorized read sensitive information on the server, including encryption keys, etc.

The article explains how to use the pprof tool for analyzing Go performance, including enabling profiling, collecting data, and identifying common bottlenecks like CPU and memory issues.Character count: 159

The article discusses writing unit tests in Go, covering best practices, mocking techniques, and tools for efficient test management.

The library used for floating-point number operation in Go language introduces how to ensure the accuracy is...

Queue threading problem in Go crawler Colly explores the problem of using the Colly crawler library in Go language, developers often encounter problems with threads and request queues. �...

The article discusses managing Go module dependencies via go.mod, covering specification, updates, and conflict resolution. It emphasizes best practices like semantic versioning and regular updates.

The article discusses using table-driven tests in Go, a method that uses a table of test cases to test functions with multiple inputs and outcomes. It highlights benefits like improved readability, reduced duplication, scalability, consistency, and a

Backend learning path: The exploration journey from front-end to back-end As a back-end beginner who transforms from front-end development, you already have the foundation of nodejs,...
